Auto Tag: Epigenome

June 1, 2021  |  

Harnessing kinetic information in Single-Molecule, Real-Time Sequencing.

Single-Molecule Real-Time (SMRT) DNA sequencing is unique in that nucleotide incorporation events are monitored in real time, leading to a wealth of kinetic information in addition to the extraction of the primary DNA sequence. The dynamics of the DNA polymerase that is observed adds an additional dimension of sequence-dependent information, and can be used to learn more about the molecule under study. First, the primary sequence itself can be determined more accurately. The kinetic data can be used to corroborate or overturn consensus calls and even enable calling bases in problematic sequence contexts. Second, using the kinetic information, we can detect and discriminate numerous chemical base modifications as a by-product of ordinary sequencing. Examples of applying these capabilities include (i) the characterization of the epigenome of microorganisms by directly sequencing the three common prokaryotic epigenetic base modifications of 4-methylcytosine, 5- methylcytosine and 6-methyladenine; (ii) the characterization of known and novel methyltransferase activities; (iii) the direct sequencing and differentiation of the four eukaryotic epigenetic forms of cytosine (5-methyl, 5-hydroxymethyl, 5-formyl, and 5-carboxylcytosine) with first applications to map them with single base-pair and DNA strand resolution across mammalian genomes; (iv) the direct sequencing and identification of numerous modified DNA bases arising from DNA damage; and (v) an exploration of the mitochondrial genome for known and novel base modifications. We will show our progress towards a generic, open-source algorithm for exploiting kinetic information for any of these purposes.

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June 1, 2021  |  

Automated, non-hybrid de novo genome assemblies and epigenomes of bacterial pathogens.

Understanding the genetic basis of infectious diseases is critical to enacting effective treatments, and several large-scale sequencing initiatives are underway to collect this information. Sequencing bacterial samples is typically performed by mapping sequence reads against genomes of known reference strains. While such resequencing informs on the spectrum of single-nucleotide differences relative to the chosen reference, it can miss numerous other forms of variation known to influence pathogenicity: structural variations (duplications, inversions), acquisition of mobile elements (phages, plasmids), homonucleotide length variation causing phase variation, and epigenetic marks (methylation, phosphorothioation) that influence gene expression to switch bacteria from non- pathogenic to pathogenic states. Therefore, sequencing methods which provide complete, de novo genome assemblies and epigenomes are necessary to fully characterize infectious disease agents in an unbiased, hypothesis-free manner. Hybrid assembly methods have been described that combine long sequence reads from SMRT DNA Sequencing with short reads (SMRT CCS (circular consensus) or second-generation reads), wherein the short reads are used to error-correct the long reads which are then used for assembly. We have developed a new paradigm for microbial de novo assemblies in which SMRT sequencing reads from a single long insert library are used exclusively to close the genome through a hierarchical genome assembly process, thereby obviating the need for a second sample preparation, sequencing run, and data set. We have applied this method to achieve closed de novo genomes with accuracies exceeding QV50 (>99.999%) for numerous disease outbreak samples, including E. coli, Salmonella, Campylobacter, Listeria, Neisseria, and H. pylori. The kinetic information from the same SMRT Sequencing reads is utilized to determine epigenomes. Approximately 70% of all methyltransferase specificities we have determined to date represent previously unknown bacterial epigenetic signatures. With relatively short sequencing run times and automated analysis pipelines, it is possible to go from an unknown DNA sample to its complete de novo genome and epigenome in about a day.

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June 1, 2021  |  

Automated, non-hybrid de novo genome assemblies and epigenomes of bacterial pathogens

Understanding the genetic basis of infectious diseases is critical to enacting effective treatments, and several large-scale sequencing initiatives are underway to collect this information. Sequencing bacterial samples is typically performed by mapping sequence reads against genomes of known reference strains. While such resequencing informs on the spectrum of single nucleotide differences relative to the chosen reference, it can miss numerous other forms of variation known to influence pathogenicity: structural variations (duplications, inversions), acquisition of mobile elements (phages, plasmids), homonucleotide length variation causing phase variation, and epigenetic marks (methylation, phosphorothioation) that influence gene expression to switch bacteria from non-pathogenic to pathogenic states. Therefore, sequencing methods which provide complete, de novo genome assemblies and epigenomes are necessary to fully characterize infectious disease agents in an unbiased, hypothesis-free manner. Hybrid assembly methods have been described that combine long sequence reads from SMRT DNA sequencing with short, high-accuracy reads (SMRT (circular consensus sequencing) CCS or second-generation reads) to generate long, highly accurate reads that are then used for assembly. We have developed a new paradigm for microbial de novo assemblies in which long SMRT sequencing reads (average readlengths >5,000 bases) are used exclusively to close the genome through a hierarchical genome assembly process, thereby obviating the need for a second sample preparation, sequencing run and data set. We have applied this method to achieve closed de novo genomes with accuracies exceeding QV50 (>99.999%) to numerous disease outbreak samples, including E. coli, Salmonella, Campylobacter, Listeria, Neisseria, and H. pylori. The kinetic information from the same SMRT sequencing reads is utilized to determine epigenomes. Approximately 70% of all methyltransferase specificities we have determined to date represent previously unknown bacterial epigenetic signatures. The process has been automated and requires less than 1 day from an unknown DNA sample to its complete de novo genome and epigenome.

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June 1, 2021  |  

Integrative biology of a fungus: Using PacBio SMRT Sequencing to interrogate the genome, epigenome, and transcriptome of Neurospora crassa.

PacBio SMRT Sequencing has the unique ability to directly detect base modifications in addition to the nucleotide sequence of DNA. Because eukaryotes use base modifications to regulate gene expression, the absence or presence of epigenetic events relative to the location of genes is critical to elucidate the function of the modification. Therefore an integrated approach that combines multiple omic-scale assays is necessary to study complex organisms. Here, we present an integrated analysis of three sequencing experiments: 1) DNA sequencing, 2) base-modification detection, and 3) Iso-seq analysis, in Neurospora crassa, a filamentous fungus that has been used to make many landmark discoveries in biochemistry and genetics. We show that de novo assembly of a new strain yields complete assemblies of entire chromosomes, and additionally contains entire centromeric sequences. Base-modification analyses reveal candidate sites of increased interpulse duration (IPD) ratio, that may signify regions of 5mC, 5hmC, or 6mA base modifications. Iso-seq method provides full-length transcript evidence for comprehensive gene annotation, as well as context to the base-modifications in the newly assembled genome. Projects that integrate multiple genome-wide assays could become common practice for identifying genomic elements and understanding their function in new strains and organisms.

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June 1, 2021  |  

Complete microbial genomes, epigenomes, and transcriptomes using long-read PacBio Sequencing.

For comprehensive metabolic reconstructions and a resulting understanding of the pathways leading to natural products, it is desirable to obtain complete information about the genetic blueprint of the organisms used. Traditional Sanger and next-generation, short-read sequencing technologies have shortcomings with respect to read lengths and DNA-sequence context bias, leading to fragmented and incomplete genome information. The development of long-read, single molecule, real-time (SMRT) DNA sequencing from Pacific Biosciences, with >10,000 bp average read lengths and a lack of sequence context bias, now allows for the generation of complete genomes in a fully automated workflow. In addition to the genome sequence, DNA methylation is characterized in the process of sequencing. PacBio® sequencing has also been applied to microbial transcriptomes. Long reads enable sequencing of full-length cDNAs allowing for identification of complete gene and operon sequences without the need for transcript assembly. We will highlight several examples where these capabilities have been leveraged in the areas of industrial microbiology, including biocommodities, biofuels, bioremediation, new bacteria with potential commercial applications, antibiotic discovery, and livestock/plant microbiome interactions.

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June 1, 2021  |  

Whole genome sequencing and epigenome characterization of cancer cells using the PacBio platform.

The comprehensive characterization of cancer genomes and epigenomes for understanding drug resistance remains an important challenge in the field of oncology. For example, PC-9, a non-small cell lung cancer (NSCL) cell line, contains a deletion mutation in exon 19 (DelE746A750) of EGRF that renders it sensitive to erlotinib, an EGFR inhibitor. However, sustained treatment of these cells with erlotinib leads to drug-tolerant cell populations that grow in the presence of erlotinib. However, the resistant cells can be resensitized to erlotinib upon treatment with methyltransferase inhibitors, suggesting a role of epigenetic modification in development of drug resistance. We have characterized for the first time cancer genomes of both drug-sensitive and drug-resistant PC- 9 cells using long-read PacBio sequencing. The PacBio data allowed us to generate a high-quality, de novo assembly of this cancer genome, enabling the detection of forms of genomic variations at all size scales, including SNPs, structural variations, copy number alterations, gene fusions, and translocations. The data simultaneously provide a global view of epigenetic DNA modifications such as methylation. We will present findings on large-scale changes in the methylation status across the cancer genome as a function of drug sensitivity.

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June 1, 2021  |  

Epigenome characterization of human genomes using the PacBio platform

In addition to the genome and transcriptome, epigenetic information is essential to understand biological processes and their regulation, and their misregulation underlying disease. Traditionally, epigenetic DNA modifications are detected using upfront sample preparation steps such as bisulfite conversion, followed by sequencing. Bisulfite sequencing has provided a wealth of knowledge about human epigenetics, however it does not access the entire genome due to limitations in read length and GC- bias of the sequencing technologies used. In contrast, Single Molecule, Real-Time (SMRT) DNA Sequencing is unique in that it can detect DNA base modifications as part of the sequencing process. It can thereby leverage the long read lengths and lack of GC bias for more comprehensive views of the human epigenome. I will highlight several examples of this capability towards the generation of new biological insights, including the resolution of methylation states in repetitive and GC-rich regions of the genome, and large-scale changes in the methylation status across a cancer genome as a function of drug sensitivity.

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June 1, 2021  |  

Allelic specificity of immunoglobulin heavy chain ([email protected]) translocation in B-cell acute lymphoblastic leukemia (B-ALL) unveiled by long-read sequencing

Oncogenic fusion of IGH-DUX4 has recently been reported as a hallmark that defines a B-ALL subtype present in up to 7% of adolescents and young adults B-ALL. The translocation of DUX4 into IGH results in aberrant activation of DUX4 by hijacking the intronic IGH enhancer (Eµ). How IGH-DUX4 translocation interplays with IGH allelic exclusion was never been explored. We investigated this in Nalm6 B-ALL cell line, using long-read (PacBio Iso-Seq method and 10X Chromium WGS), short-read (Illumina total stranded RNA and WGS), epigenome (H3K27ac ChIP-seq, ATAC-seq) and 3-D genome (Hi-C, H3K27ac HiChIP, Capture-C).

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